Development of lipidomic platform and phosphatidylcholine retention time index for lipid profiling of rosuvastatin treated human plasma

作者: Jong Min Choi , Tae-Eun Kim , Joo-Youn Cho , Hwa Jeong Lee , Byung Hwa Jung

DOI: 10.1016/J.JCHROMB.2013.10.029

关键词:

摘要: Abstract A simple and fast methodology to detect identify multiple classes of lipid from human plasma is developed utilizing ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC–QTOF) as lipidomics platform. All the conditions for sample preparation analytical instruments were optimized in detail nine (phosphatidylserine (PS), phosphatidylglycerol (PG), phosphatidylethanolamine (PE), phosphatidylcholine (PC), triacylglyceride (TG), phosphatidylinositol (PI), lysophosphatidylcholine (LysoPC), lysophosphatidic acid (LysoPA), sphingomyelin (SM)), which are most important biologically active lipids but have different characteristics. Finally, was prepared after a liquid–liquid extraction with mixture chloroform/methanol (1:2 v/v) including salting out by adding 0.15 M NaCl residue evaporation reconstituted (1:1 v/v) dissolve all polarity. The chromatographic set up such that mobile phase (A) comprised 10 mM ammonium acetate 40% acetonitrile (B) acetonitrile:isopropanol = 10:90 (v/v) ACQUITY BEH C18 stationary phase. In particular, retention time index PC constructed analyzing known standards confirm each variant without use any additional every experiment. lipidomic applied analyze profiling rosuvastatin (lipid lowering drug) treated subjects. platform, successfully analyzed within 16 min PCs could be confirmed index. treatment, changed eight classes. level SM, TG, PI PE decrease significantly LysoPCs whether decreased or increased. Those results indicated overall drug response, however, changes components biological membrane LysoPC more complicated, it related side effect rousuvastatin. conclusion, found our provided not only information also profiled specific response.

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